Omesh Tickoo

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 54

Top Topics

Variational Inference

Anomaly Detection

Probabilistic Model

Top Venues

Publications

Jun-Liang Lin, Ranganath Krishnan, Keyur Ruganathbhai Ranipa, Mahesh Subedar, Vrushabh Sanghavi, Meena Arunachalam, Omesh Tickoo, Ravishankar Iyer, Mahmut Taylan Kandemir
Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness. IISWC (2023)
Alon Harell, Yalda Foroutan, Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo, Anderson de Andrade, Ivan V. Bajic
Rate-Distortion Theory in Coding for Machines and its Application. CoRR (2023)
Ibrahima J. Ndiour, Nilesh A. Ahuja, Ergin Utku Genc, Omesh Tickoo
FRE: A Fast Method For Anomaly Detection And Segmentation. BMVC (2023)
Nilesh A. Ahuja, Parual Datta, Bhavya Kanzariya, V. Srinivasa Somayazulu, Omesh Tickoo
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN models. CVPR (2023)
Neslihan Kose, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. CoRR (2022)
Neslihan Kose, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. ECCV Workshops (5) (2022)
Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection. CoRR (2022)
Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection. ICIP (2022)
Parual Datta, Nilesh A. Ahuja, V. Srinivasa Somayazulu, Omesh Tickoo
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing. ICPR (2022)
Amrutha Machireddy, Ranganath Krishnan, Nilesh A. Ahuja, Omesh Tickoo
Continual Active Adaptation to Evolving Distributional Shifts. CVPR Workshops (2022)
Amanda Rios, Nilesh A. Ahuja, Ibrahima J. Ndiour, Ergin Utku Genc, Laurent Itti, Omesh Tickoo
incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection. ECCV (25) (2022)
Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo
Partially-Supervised Novel Object Captioning Using Context from Paired Data. BMVC (2022)
Parual Datta, Nilesh A. Ahuja, V. Srinivasa Somayazulu, Omesh Tickoo
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing. CoRR (2022)
Ibrahima J. Ndiour, Nilesh A. Ahuja, Ergin Utku Genc, Omesh Tickoo
FRE: A Fast Method For Anomaly Detection And Segmentation. CoRR (2022)
Chaunte Lacewell, Nilesh Ahuja, Pablo Munoz, Parual Datta, Ragaad Altarawneh, Vui Seng Chua, Nilesh Jain, Omesh Tickoo, Ravi Iyer
E2E Visual Analytics: Achieving >10X Edge/Cloud Optimizations. NAS (2021)
Ergin Utku Genc, Nilesh A. Ahuja, Ibrahima J. Ndiour, Omesh Tickoo
Energy-Based Anomaly Detection and Localization. CoRR (2021)
Ranganath Krishnan, Alok Sinha, Nilesh Ahuja, Mahesh Subedar, Omesh Tickoo, Ravi Iyer
Mitigating Sampling Bias and Improving Robustness in Active Learning. CoRR (2021)
Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo
Data augmentation to improve robustness of image captioning solutions. CoRR (2021)
Ranganath Krishnan, Nilesh Ahuja, Alok Sinha, Mahesh Subedar, Omesh Tickoo, Ravi Iyer
Improving Robustness and Efficiency in Active Learning with Contrastive Loss. CoRR (2021)
Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo
Partially-supervised novel object captioning leveraging context from paired data. CoRR (2021)
Umang Bhatt, Javier Antorán, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. AIES (2021)
Umang Bhatt, Yunfeng Zhang, Javier Antorán, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Adrian Weller, Alice Xiang
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. CoRR (2020)
Neel Patwa, Nilesh A. Ahuja, Srinivasa Somayazulu, Omesh Tickoo, Srenivas Varadarajan, Shashidhar G. Koolagudi
Semantic-Preserving Image Compression. ICIP (2020)
Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes. AAAI (2020)
Ranganath Krishnan, Omesh Tickoo
Improving model calibration with accuracy versus uncertainty optimization. CoRR (2020)
Ranganath Krishnan, Omesh Tickoo
Improving model calibration with accuracy versus uncertainty optimization. NeurIPS (2020)
Jesus Adan Cruz Vargas, Julio Zamora-Esquivel, Omesh Tickoo
Introducing Region Pooling Learning. ICPR Workshops (1) (2020)
Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo
Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features. CoRR (2020)
Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Omesh Tickoo
Second Order Bifurcating Methodology for Neural Network Training and Topology Optimization. ICPR Workshops (1) (2020)
Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo
B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning. CoRR (2020)
Mahesh Subedar, Nilesh A. Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo
Deep Probabilistic Models to Detect Data Poisoning Attacks. CoRR (2019)
Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference. CVPR Workshops (2019)
Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference. ICCV (2019)
Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Paulo Lopez-Meyer, Omesh Tickoo
Adaptive Convolutional Kernels. ICCV Workshops (2019)
Javier Felip, Nilesh A. Ahuja, David Gómez-Gutiérrez, Omesh Tickoo, Vikash Mansinghka
Real-time Approximate Bayesian Computation for Scene Understanding. CoRR (2019)
Javier Felip, Nilesh A. Ahuja, Omesh Tickoo
Tree pyramidal adaptive importance sampling. CoRR (2019)
Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, José Rodrigo Camacho Pérez, Paulo Lopez-Meyer, Héctor A. Cordourier, Omesh Tickoo
Adaptive Activation Functions Using Fractional Calculus. ICCV Workshops (2019)
Nilesh A. Ahuja, Ibrahima J. Ndiour, Trushant Kalyanpur, Omesh Tickoo
Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection. CoRR (2019)
Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo
MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks. CoRR (2019)
Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo
Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks. ICCV Workshops (2019)
Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo
BAR: Bayesian Activity Recognition using variational inference. CoRR (2018)
Srenivas Varadarajan, Parual Datta, Omesh Tickoo
A Greedy Part Assignment Algorithm for Real-Time Multi-person 2D Pose Estimation. WACV (2018)
Tanay Karnik, Dileep Kurian, Paolo A. Aseron, Richard Dorrance, Erkan Alpman, Angela Nicoara, Roman Popov, Leonid Azarenkov, Mikhail J. Moiseev, Li Zhao, Santosh Ghosh, Rafael Misoczki, Ankit Gupta, M. Akhila, Sriram Muthukumar, Saurabh Bhandari, Satish Yada, Kartik Jain, Robert Flory, Chanitnan Kanthapanit, Eduardo Quijano, Bradley Jackson, Hao Luo, Suhwan Kim, Vaibhav A. Vaidya, Adel Elsherbini, Renzhi Liu, Farhana Sheikh, Omesh Tickoo, Ilya Klotchkov, Manoj R. Sastry, Sheldon Sun, Mukesh Bhartiya, Anuradha Srinivasan, Yatin Hoskote, Hong Wang, Vivek De
A cm-scale self-powered intelligent and secure IoT edge mote featuring an ultra-low-power SoC in 14nm tri-gate CMOS. ISSCC (2018)
Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang
Uncertainty aware multimodal activity recognition with Bayesian inference. CoRR (2018)
Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Yeongseon Lee
A Factorization Approach for Enabling Structure-from-Motion/SLAM Using Integer Arithmetic. ICCV Workshops (2017)
Srenivas Varadarajan, Parual Datta, Omesh Tickoo
A Greedy Part Assignment Algorithm for Real-time Multi-person 2D Pose Estimation. CoRR (2017)
Vui Seng Chua, Julio Zamora-Esquivel, Anindya Sao Paul, Thawee Techathamnukool, Carlos Flores Fajardo, Nilesh Jain, Omesh Tickoo, Ravi R. Iyer
Visual IoT: Ultra-Low-Power Processing Architectures and Implications. IEEE Micro 37 (6) (2017)
Shao-Wen Yang, Omesh Tickoo, Yen-Kuang Chen
A framework for visual fog computing. ISCAS (2017)
Javier Felip, David Gonzalez-Aguirre, Omesh Tickoo
Towards intuitive rigid-body physics through parameter search. Humanoids (2017)
Mi Sun Park, Omesh Tickoo, Vijaykrishnan Narayanan, Mary Jane Irwin, Ravi Iyer
Platform-aware dynamic configuration support for efficient text processing on heterogeneous system. DATE (2015)
Shayok Chakraborty, Omesh Tickoo, Ravi Iyer
Adaptive Keyframe Selection for Video Summarization. WACV (2015)
Teahyung Lee, Myung Hwangbo, Tanfer Alan, Omesh Tickoo, Ravishankar R. Iyer
Low-complexity HOG for efficient video saliency. ICIP (2015)
Shayok Chakraborty, Omesh Tickoo, Ravishankar R. Iyer
Towards Distributed Video Summarization. ACM Multimedia (2015)
Paulo Lopez-Meyer, Héctor A. Cordourier Maruri, Arturo Quinto-Martinez, Omesh Tickoo
Analyzing Artificial Neural Networks and Dynamic Time Warping for spoken keyword recognition under transient noise conditions. ICST (2015)
Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo, Omesh Tickoo, Ramesh Illikkal, Ravishankar R. Iyer
Machine Learning-Based Runtime Scheduler for Mobile Offloading Framework. UCC (2013)
Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo, Omesh Tickoo, Ramesh Illikkal, Ravishankar R. Iyer
OpenCL-Based Remote Offloading Framework for Trusted Mobile Cloud Computing. ICPADS (2013)
Heungsik Eom, Pierre St. Juste, Renato J. O. Figueiredo, Omesh Tickoo, Ramesh Illikkal, Ravishankar R. Iyer
SNARF: a social networking-inspired accelerator remoting framework. MCC@SIGCOMM (2012)
Ravi R. Iyer, Sadagopan Srinivasan, Omesh Tickoo, Zhen Fang, Ramesh Illikkal, Steven Zhang, Vineet Chadha, Paul M. Stillwell, Seung Eun Lee
CogniServe: Heterogeneous Server Architecture for Large-Scale Recognition. IEEE Micro 31 (3) (2011)
Omesh Tickoo, Ravi R. Iyer, Ramesh Illikkal, Don Newell
Modeling virtual machine performance: challenges and approaches. SIGMETRICS Perform. Evaluation Rev. 37 (3) (2009)
Srihari Makineni, Omesh Tickoo, Aaron Terrell, Jessica Young, Don Newell
Evaluating implications of Virtual Worlds on server architecture using Second Life. HiPC (2009)
Paul M. Stillwell, Vineet Chadha, Omesh Tickoo, Steven Zhang, Ramesh Illikkal, Ravishankar R. Iyer, Don Newell
HiPPAI: High Performance Portable Accelerator Interface for SoCs. HiPC (2009)
Ravi R. Iyer, Ramesh Illikkal, Omesh Tickoo, Li Zhao, Padma Apparao, Don Newell
: Measuring, modeling and managing VM shared resources. Comput. Networks 53 (17) (2009)
Omesh Tickoo, Biplab Sikdar
Modeling queueing and channel access delay in unsaturated IEEE 802.11 random access MAC based wireless networks. IEEE/ACM Trans. Netw. 16 (4) (2008)
Omesh Tickoo, Hari Kannan, Vineet Chadha, Ramesh Illikkal, Ravi R. Iyer, Donald Newell
qTLB: Looking Inside the Look-Aside Buffer. HiPC (2007)
Omesh Tickoo, Vijaynarayanan Subramanian, Shivkumar Kalyanaraman, K. K. Ramakrishnan
LT-TCP: End-to-End Framework to Improve TCP Performance over Networks with Lossy Channels. IWQoS (2005)
Omesh Tickoo, Biplab Sikdar
A queueing model for finite load IEEE 802.11 random access MAC. ICC (2004)
Omesh Tickoo, Shivkumar Kalyanaraman, John W. Woods
Efficient path aggregation and error control for video streaming. ICIP (2004)
Omesh Tickoo, Biplab Sikdar
Queueing Analysis and Delay Mitigation in IEEE 802.11 Random Access MAC based Wireless Networks. INFOCOM (2004)
Omesh Tickoo, Biplab Sikdar
On the impact of IEEE 802.11 MAC on traffic characteristics. IEEE J. Sel. Areas Commun. 21 (2) (2003)
Omesh Tickoo, Satish Raghunath, Shivkumar Kalyanaraman
Route fragility: a novel metric for route selection in mobile ad hoc networks. ICON (2003)
Ivan V. Bajic, Omesh Tickoo, Anand Balan, Shivkumar Kalyanaraman, John W. Woods
Integrated end-to-end buffer management and congestion control for scalable video communications. ICIP (3) (2003)
Omesh Tickoo, Biplab Sikdar
Modeling and analysis of traffic characteristics in IEEE 802.11 MAC based networks. GLOBECOM (2002)